Thrift store chain Savers Value Village's Q3 sales just miss estimates

Reuters
10/31
Thrift store chain <a href="https://laohu8.com/S/SVV">Savers Value Village</a>'s Q3 sales just miss estimates

Overview

  • Savers Value Village Q3 net sales rose 8.1% but just missed analyst expectations

  • Company reported a Q3 net loss due to $32.6 mln debt extinguishment loss

  • Company authorizes new $50 mln share repurchase program

Outlook

  • Company updates fiscal 2025 net sales outlook to $1.67 bln-$1.68 bln

  • Company lowers fiscal 2025 net income forecast to $17 mln-$21 mln

  • Company expects fiscal 2025 comparable store sales growth of 4.0%-4.5%

Result Drivers

  • U.S. SALES GROWTH - U.S. net sales increased 10.5% with comparable store sales up 7.1%, contributing significantly to overall revenue growth

  • STORE EXPANSION - Co opened 10 new stores, ending the qtr with 364 stores, supporting sales growth

  • DEBT REFINANCING - Co completed debt refinancing, expected to reduce interest expense by $17 mln annually

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

*Slight Miss

$426.93 mln

$427.55 mln (10 Analysts)

Q3 EPS

-$0.09

Q3 Net Income

-$14 mln

Q3 Basic EPS

-$0.09

Q3 Operating Expenses

$390.59 mln

Q3 Operating Income

$36.34 mln

Q3 Pretax Profit

-$17.32 mln

*Applies to a deviation of less than 1%; not applicable for per-share numbersAnalyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the miscellaneous specialty retailers peer group is "buy"

  • Wall Street's median 12-month price target for Savers Value Village Inc is $14.00, about 5.1% above its October 29 closing price of $13.28

Press Release: ID:nBw59WH4na

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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